Method and system for controlling thermal load distribution in a portable computing device

ABSTRACT

Methods and systems for managing thermal load distribution on a portable computing device (“PCD”) include storing on a PCD a plurality of thermal load steering scenarios which identify simulated thermal load conditions for the PCD, corresponding simulated workloads that produced the simulated thermal load conditions, and thermal load steering parameters for steering the simulated thermal load to a predetermined spatial location on the PCD. A scheduled workload for the PCD is monitored to identify a match with one of the thermal load steering scenarios so that the workload may be scheduled according to a thermal load steering parameter. Another method includes initiating a thermal mitigation technique on a PCD and determining a current graphical load being processed by the PCD. A graphics feature associated with the current graphical load is identified. The graphics feature is then disabled while maintaining a frame rate to reduce temperature of the PCD.

PRIORITY AND RELATED APPLICATIONS STATEMENT

This application claims priority under 35 U.S.C. §119(e) to U.S. Provisional Patent Application Ser. No. 61/430,265, filed on Jan. 6, 2011, entitled “METHOD AND SYSTEM FOR MANAGING THERMAL LOAD ASSOCIATED WITH GRAPHICS PROCESSING IN A PORTABLE COMPUTING DEVICE” and U.S. Provisional Patent Application Ser. No. 61/430,268, filed on Jan. 6, 2011, entitled “METHOD AND SYSTEM FOR CONTROLLING THERMAL LOAD DISTRIBUTION IN A PORTABLE COMPUTING DEVICE.” The entire contents of these two provisional patent applications are hereby incorporated by reference.

DESCRIPTION OF THE RELATED ART

Portable computing devices (PCDs) are becoming necessities for people on personal and professional levels. These devices may include cellular telephones, portable digital assistants (PDAs), portable game consoles, palmtop computers, and other portable electronic devices.

One unique aspect of PCDs is that they typically do not have active cooling devices, like fans, which are often found in larger computing devices like laptop and desk top computers. Instead of using fans, PCDs may rely on the spatial arrangement of electronic packaging so that two or more active and heat producing devices are not positioned in close proximity to one another. When two or more heat producing devices are not placed in close proximity to one another, then usually their operation does not negatively impact each other and any other electronics that may surround them. Many PCDs may also rely on passive cooling devices such as heat sinks to manage thermal energy among the electronics forming a respective PCD.

However, the spatial arrangement of electronic packaging and passive cooling devices, like heatsinks, are sometimes not adequate enough to prevent a PCD from reaching critical thermal temperatures that may cause permanent damage to the electronics within a respective PCD. Currently, when a PCD approaches a critical temperature, the operating system is designed to shut down most of the electronics generating the thermal energy in order to cool the PCD. While shutting down electronics may be effective to avoid critical temperatures that may cause permanent damage, such drastic measures directly impact performance of the PCD and may render a PCD useless with respect to its functionality when such measures are taken.

Accordingly, what is needed in the art is a method and system for managing and controlling thermal load distribution to allow a PCD to cool electronics while maintaining performance and functionality for an end-user.

SUMMARY OF THE DISCLOSURE

Various embodiments of methods and systems for controlling and/or managing thermal load distribution on a portable computing device are disclosed. One such method involves storing on a portable computing device a plurality of thermal load steering scenarios. Each of the thermal load steering scenarios identifies a simulated thermal load condition for the portable computing device, a corresponding simulated workload that produced the simulated thermal load condition, and a thermal load steering parameter comprising information for steering the simulated thermal load to a predetermined spatial location on the portable computing device. A scheduled workload for the portable computing device is monitored. The portable computing device determines if the scheduled workload matches one of the thermal load steering scenarios. If there is a match, the corresponding thermal load steering parameter is determined. The scheduled workload is scheduled according to the thermal load steering parameter.

Another exemplary method includes initiating a thermal mitigation technique on a portable computing device and determining a current graphical load being processed by the portable computing device. A graphics feature associated with the current graphical load is identified. The graphics feature is then disabled while maintaining a frame rate to reduce temperature of the portable computing device.

BRIEF DESCRIPTION OF THE DRAWINGS

In the Figures, like reference numerals refer to like parts throughout the various views unless otherwise indicated. For reference numerals with letter character designations such as “102A” or “102B”, the letter character designations may differentiate two like parts or elements present in the same Figure. Letter character designations for reference numerals may be omitted when it is intended that a reference numeral to encompass all parts having the same reference numeral in all Figures.

FIG. 1 is a functional block diagram illustrating an embodiment of a computer system for simulating thermal load distributions in a portable computing device (PCD) and generating data for enabling the PCD to control the distribution of the thermal load;

FIG. 2 is a logical flowchart illustrating an embodiment of a method for generating the thermal load steering table of FIG. 1 for use by the PCD to control the distribution of thermal load;

FIG. 3 is a data diagram illustrating an embodiment of the thermal load steering table of FIG. 1;

FIG. 4 a is an overhead schematic diagram of the spatial arrangement of an exemplary integrated circuit illustrating a thermal load distribution under a simulated workload;

FIG. 4 b illustrates the integrated circuit of FIG. 4 a in which the thermal load distribution is distributed to a location closer to a thermal sensor according to the thermal load steering parameters in the thermal load steering table of FIG. 3;

FIG. 5 is a logical flowchart illustrating an embodiment of a method for controlling thermal load distribution in the PCD of FIG. 1;

FIG. 6 is a functional block diagram illustrating an exemplary embodiment of the PCD of FIG. 1;

FIG. 7A is a functional block diagram illustrating an exemplary spatial arrangement of hardware for the chip illustrated in FIG. 6;

FIG. 7B is a schematic diagram illustrating an exemplary software architecture of the PCD of FIG. 6 for supporting dynamic voltage and frequency scaling (“DVFS”) algorithms;

FIG. 7C is a first table listing exemplary frequency values for two DVFS algorithms;

FIG. 7D is a second table listing exemplary frequency and voltage pairs for two DVFS algorithms;

FIG. 8 is an exemplary state diagram that illustrates various thermal policy states that may be managed by the thermal policy manager in the PCD of FIG. 1;

FIG. 9 is a diagram illustrating exemplary thermal mitigation techniques that may be applied or ordered by the thermal policy manager;

FIG. 10 is a diagram illustrating an exemplary graph of temperature versus time and corresponding thermal policy states;

FIGS. 11A & 11B are logical flowcharts illustrating a method for managing one or more thermal policies;

FIG. 12 is a logical flowchart illustrating a sub-method or subroutine for applying DVFS thermal mitigation techniques;

FIG. 13A is a schematic diagram for a four-core multi-core processor and different workloads that may be spatially managed with the multi-core processor; and

FIG. 13B is logical flowchart illustrating a sub-method or subroutine for applying spatial workload shifting thermal mitigation techniques.

FIG. 14 is a logical flowchart illustrating a sub-method or subroutine for selectively removing secondary information associated with a current graphical load.

DETAILED DESCRIPTION

The word “exemplary” is used herein to mean “serving as an example, instance, or illustration.” Any aspect described herein as “exemplary” is not necessarily to be construed as preferred or advantageous over other aspects.

In this description, the term “application” may also include files having executable content, such as: object code, scripts, byte code, markup language files, and patches. In addition, an “application” referred to herein, may also include files that are not executable in nature, such as documents that may need to be opened or other data files that need to be accessed.

The term “content” may also include files having executable content, such as: object code, scripts, byte code, markup language files, and patches. In addition, “content” referred to herein, may also include files that are not executable in nature, such as documents that may need to be opened or other data files that need to be accessed.

As used in this description, the terms “component,” “database,” “module,” “system,” and the like are intended to refer to a computer-related entity, either hardware, firmware, a combination of hardware and software, software, or software in execution. For example, a component may be, but is not limited to being, a process running on a processor, a processor, an object, an executable, a thread of execution, a program, and/or a computer. By way of illustration, both an application running on a computing device and the computing device may be a component. One or more components may reside within a process and/or thread of execution, and a component may be localized on one computer and/or distributed between two or more computers. In addition, these components may execute from various computer readable media having various data structures stored thereon. The components may communicate by way of local and/or remote processes such as in accordance with a signal having one or more data packets (e.g., data from one component interacting with another component in a local system, distributed system, and/or across a network such as the Internet with other systems by way of the signal).

In this description, the terms “communication device,” “wireless device,” “wireless telephone,” “wireless communication device” and “wireless handset” are used interchangeably. With the advent of third generation (“3G”) and fourth generation (“4G”) wireless technology, greater bandwidth availability has enabled more portable computing devices with a greater variety of wireless capabilities.

In this description, the term “portable computing device” (“PCD”) is used to describe any device operating on a limited capacity power supply, such as a battery. Although battery operated PCDs have been in use for decades, technological advances in rechargeable batteries coupled with the advent of third generation (“3G”) wireless technology, have enabled numerous PCDs with multiple capabilities. Therefore, a PCD may be a cellular telephone, a satellite telephone, a pager, a PDA, a smartphone, a navigation device, a smartbook or reader, a media player, a combination of the aforementioned devices, a laptop computer with a wireless connection, among others.

FIG. 1 illustrates an embodiment of a computer system for implementing various features related to thermal load distribution or “steering” in a PCD 100. In general, the computer system employs two main phases: (1) a simulation phase performed by a simulation computer 10; and (2) an operational phase performed by a PCD 100.

The simulation phase involves simulating thermal loads to be experienced by an integrated circuit 102 during operation of the PCD 100. The simulation computer 10 identifies thermal load conditions produced by the PCD 100 under simulated workloads. The simulation computer 10 may determine that a simulated thermal load distribution or “hotspot” on the silicon die is not located close enough to the thermal sensor(s) to provide optimal thermal load management. As the distance between a hotspot and a thermal sensor increases, uncertainties associated with thermal dissipation may decrease the accuracy and effectiveness of the thermal monitoring. The simulation computer 10 improves the accuracy and effectiveness of thermal monitoring by “steering” the hotspot from a first simulated location on the silicon die to a second simulated location that is closer to the thermal sensor(s). The second simulated location may be represented in commands, instructions, or any other suitable computer readable data (referred to as “thermal load steering parameter(s)”) that may be provided to and used by the PCD 100 during the operational phase to steer the hotspot to the second simulated location.

Referring to FIG. 1, the simulation computer 10 comprises one or more processors 12, a memory 14, and one or more input/output devices 16 in communication with each other via a local interface. The memory 14 comprises a computer model 22 of the integrated circuit 102 used in the PCD 100. The computer model 22 is a data representation of the various hardware and software components in the PCD 100 and the spatial arrangement, architecture, and operation of the various components of the integrated circuit 102, including, for example, thermal sensors 157 and a CPU 110. A detailed exemplary embodiment of a PCD 100 is described below in more detail with reference to FIGS. 6, 7A, and 7B. It should be appreciated that any PCD 100 and/or integrated circuit 102 may be modeled and represented in the computer model 22 provided to the simulation computer 10. The computer model 22 may comprise information such as, but not limited to, dimensions, size, and make-up of the printed circuit board (“PCB”) stack, the amount of metal in traces, the sizes of the traces, the use of thermal vias, power load per sub block of the silicon die, power load per component on the PCB, use case specifics of the power load, any temporal dynamics of the power load, and other similar information as understood by one of ordinary skill in the art.

The thermal load simulation module(s) 20 interfaces with the computer model 22 and generally comprises the logic for performing the thermal load simulations based on the computer model 22. The thermal load simulation module(s) 20 generates the thermal load steering parameters and stores them in, for example, the thermal load steering scenarios table 24, which is provided to the PCD 100. As illustrated in the embodiment of FIG. 1, the PCD 100 generally comprises thermal load steering module(s) 26, thermal policy manager module(s) 101, a monitor module 114, a central processing unit 110, one or more thermal sensors 157A located on the integrated circuit 102, and one or more thermal sensors 157B located off the integrated circuit 102. The thermal load steering module(s) 26 generally comprises the logic for monitoring the operations to be performed by the PCB 100 and determining whether thermal load steering should be performed. If thermal load steering is to be performed, the thermal load steering module(s) 26 accesses the thermal load steering scenarios table 24, interprets the thermal load steering parameter(s), and schedules the workload in such a way to steer the thermal load to the appropriate location relative to the one or more thermal sensors 157.

It should be appreciated that the thermal load steering module(s) 26 may communicate with (or be integrated with one or more of) the thermal policy manager module(s) 101, the monitor module 114, the CPU 110, or any other hardware or software components of the PCD 100, which are described below in more detail in connection with the embodiment illustrated in FIGS. 6-13.

FIG. 2 illustrates a method 28 implemented by the simulation computer 10. In an embodiment, the method 28 may be performed during the design and development of the integrated circuit 102 and the PCD 100 so that the devices may be appropriately configured to support the thermal load steering features. In other embodiments, the method 28 may be performed after the PCD 100 has been manufactured, in which case the thermal load steering feature may be enabled through appropriate software upgrades.

At block 30, the computer model 22 of the integrated circuit 102 is stored in the simulation computer 10 and accessed by the thermal load simulation module(s) 20. At block 32, computer simulation(s) are performed and one or more simulated thermal load conditions are identified (block 34). As known by one of ordinary skill in the art and illustrated in the example of FIG. 4 a, a thermal load condition comprises a spatial thermal load distribution or “hotspot” 48 produced on the integrated circuit 102 under a simulated workload 44. The hotspot 48 may be located on a first core 222 (FIG. 7A) a distance A from a thermal sensor 157A. The thermal sensor 157A does not measure the actual temperature of the hotspot 48 due to thermal dissipation or the temperature uncertainty due to the spatial offset (At_(a)) across distance A. As understood by one of ordinary skill in the art, measuring thermal energy (i.e.—temperature) of the hotspot 48 with a temperature sensor 157A at a point that is some distance from the hotspot 48 may be difficult due to the thermal wave moving across the surface of an object (i.e.—the computer chip or printed circuit board). The position of sensor 157A, which is at some distance relative to the hotspot 48, may not have the same temperature as the hotspot 48 itself.

To improve the effectiveness and accuracy of thermal load management algorithms, the simulation computer 10 may determine that the hotspot 48 should be steered to a location closer to the thermal sensor 157A. Based on the computer model 22, the simulation computer 10 may determine that at least a portion of the simulated workload 44 may be handled by a second core 224 located closer to the thermal sensor 157A instead of the first core 222.

At block 36, the appropriate thermal load steering parameters 46 are generated for moving the hotspot 48 to a location on the second core 224 a distance B from the thermal sensor 157A (see FIG. 4 b). Because distance B is less than distance A, the magnitude of the thermal dissipation (Δt_(b)) is reduced, thereby improving the accuracy of the measurement by the thermal sensor 157A. At block 38, the simulation computer 10 generates and stores the thermal load steering scenarios table 24 in the memory 14. As illustrated in FIG. 3, the thermal load steering scenarios table 24 may comprise a scenario 40 for each simulated thermal load condition with corresponding data, such as, thermal load condition data 42, simulated workload data 44, and the thermal load steering parameter(s) 46. The load condition data, simulated workload data 44, and thermal load steering parameters(s) 46 may include, but are not limited to, separate use case breakdowns of power dissipation per power consuming (i.e.—heat generating) component, location of these dissipation points both on chip and off chip, amount of MIPs per processor use expected, total power dissipated on chip, total power dissipated by entire device, and other similar information as understood by one of ordinary skill in the art.

In the operational phase, the thermal load steering scenarios table 24 is provided to the

PCD 100. FIG. 5 illustrates an embodiment of a method 50 implemented by the PCD 100 for performing thermal load steering. At block 52, the thermal load steering scenarios table 24 is stored in memory in the PCD 100. At block 54, the thermal load steering module(s) 26 monitors scheduled workloads for the PCD 100. In an embodiment, the monitoring may be performed by interfacing with an O/S scheduler 207 (See FIGS. 7A-7B), which receives and manages requests for hardware resources on the PCD 100. By monitoring the O/S scheduler requests, the thermal load steering module(s) 26 may compare the scheduled workloads to the simulated workload data 44 to determine if it matches one of the scenarios 40 in the table 24. If the scheduled workload matches a scenario 40 (decision block 56), the corresponding thermal load steering parameter(s) 46 may be obtained from the table 24 (block 58) and used to schedule the workload on the PCD 100 (block 60).

If the scheduled workload does not match a scenario 40, then the “NO” branch from decision block 56 may be followed to optional block 57. In optional block 57, a default load steering vector may be accessed and used by the thermal load steering module 26 if the scheduled workload does not match a scenario 40. Alternatively, optional block 57 may be skipped in which the “NO” branch is followed back to decision block 56.

As mentioned above, when the workload is scheduled according to the thermal load steering parameter(s) 46, the resulting thermal load is optimally steered relative to one or of the thermal sensors 157. At block 62, the PCD 100 may initiate any desirable thermal management policies.

Examples of various alternative embodiments of the PCD 100 and thermal management policies are described below in connection with FIGS. 6-13. FIG. 6 is a functional block diagram of an exemplary, non-limiting aspect of a PCD 100 in the form of a wireless telephone for implementing methods and systems for monitoring thermal conditions and managing thermal policies. Per some embodiments, PCD 100 may be configured to manage thermal load associated with graphics processing. As shown, the PCD 100 includes an on-chip system 102 that includes a multi-core central processing unit (“CPU”) 110 and an analog signal processor 126 that are coupled together. The CPU 110 may comprise a zeroth core 222, a first core 224, and an Nth core 230 as understood by one of ordinary skill in the art. Further, instead of a CPU 110, a digital signal processor (“DSP”) may also be employed as understood by one of ordinary skill in the art.

In general, the thermal policy manager module(s) 101 may be responsible for monitoring and applying thermal policies that include one or more thermal mitigation techniques that may help a PCD 100 manage thermal conditions and/or thermal loads and avoid experiencing adverse thermal conditions, such as, for example, reaching critical temperatures while maintaining a high level of functionality.

FIG. 6 also shows that the PCD 100 may include a monitor module 114. The monitor module 114 communicates with multiple operational sensors (e.g., thermal sensors 157) distributed throughout the on-chip system 102 and with the CPU 110 of the PCD 100 as well as with the thermal policy manager module 101. The thermal policy manager module 101 may work with the monitor module 114 to identify adverse thermal conditions and apply thermal policies that include one or more thermal mitigation techniques as will be described in further detail below.

As illustrated in FIG. 6, a display controller 128 and a touch screen controller 130 are coupled to the digital signal processor 110. A touch screen display 132 external to the on-chip system 102 is coupled to the display controller 128 and the touch screen controller 130.

PCD 100 may further include a video encoder 134, e.g., a phase-alternating line (“PAL”) encoder, a sequential couleur avec memoire (“SECAM”) encoder, a national television system(s) committee (“NTSC”) encoder or any other type of video encoder 134. The video encoder 134 is coupled to the multi-core central processing unit (“CPU”) 110. A video amplifier 136 is coupled to the video encoder 134 and the touch screen display 132. A video port 138 is coupled to the video amplifier 136. As depicted in FIG. 6, a universal serial bus (“USB”) controller 140 is coupled to the CPU 110. Also, a USB port 142 is coupled to the USB controller 140. A memory 112 and a subscriber identity module (SIM) card 146 may also be coupled to the CPU 110. Further, as shown in FIG. 6, a digital camera 148 may be coupled to the CPU 110. In an exemplary aspect, the digital camera 148 is a charge-coupled device (“CCD”) camera or a complementary metal-oxide semiconductor (“CMOS”) camera.

As further illustrated in FIG. 6, a stereo audio CODEC 150 may be coupled to the analog signal processor 126. Moreover, an audio amplifier 152 may be coupled to the stereo audio CODEC 150. In an exemplary aspect, a first stereo speaker 154 and a second stereo speaker 156 are coupled to the audio amplifier 152. FIG. 6 shows that a microphone amplifier 158 may be also coupled to the stereo audio CODEC 150. Additionally, a microphone 160 may be coupled to the microphone amplifier 158. In a particular aspect, a frequency modulation (“FM”) radio tuner 162 may be coupled to the stereo audio CODEC 150. Also, an FM antenna 164 is coupled to the FM radio tuner 162. Further, stereo headphones 166 may be coupled to the stereo audio CODEC 150.

FIG. 6 further indicates that a radio frequency (“RF”) transceiver 168 may be coupled to the analog signal processor 126. An RF switch 170 may be coupled to the RF transceiver 168 and an RF antenna 172. As shown in FIG. 6, a keypad 174 may be coupled to the analog signal processor 126. Also, a mono headset with a microphone 176 may be coupled to the analog signal processor 126. Further, a vibrator device 178 may be coupled to the analog signal processor 126. FIG. 6 also shows that a power supply 180, for example a battery, is coupled to the on-chip system 102. In a particular aspect, the power supply includes a rechargeable DC battery or a DC power supply that is derived from an alternating current (“AC”) to DC transformer that is connected to an AC power source.

The CPU 110 may also be coupled to one or more internal, on-chip thermal sensors 157A as well as one or more external, off-chip thermal sensors 157B. The on-chip thermal sensors 157A may comprise one or more proportional to absolute temperature (“PTAT”) temperature sensors that are based on vertical PNP structure and are usually dedicated to complementary metal oxide semiconductor (“CMOS”) very large-scale integration (“VLSI”) circuits. The off-chip thermal sensors 157B may comprise one or more thermistors. The thermal sensors 157 may produce a voltage drop that is converted to digital signals with an analog-to-digital converter (“ADC”) controller 103 (See FIG. 7A). However, other types of thermal sensors 157 may be employed without departing from the scope of the invention.

The thermal sensors 157 in addition to being controlled and monitored by an ADC controller 103, may also be controlled and monitored by one or more thermal policy manager module(s) 101. The thermal policy manager module(s) may comprise software which is executed by the CPU 110. However, the thermal policy manager module(s) 101 may also be formed from hardware and/or firmware without departing from the scope of the invention. The thermal policy manager module(s) 101 may be responsible for monitoring and applying thermal policies that include one or more thermal mitigation techniques that may help a PCD 100 avoid critical temperatures while maintaining a high level of functionality.

FIG. 1 also shows that the PCD 100 may include a monitor module 114. The monitor module 114 communicates with multiple operational sensors distributed throughout the on-chip system 102 and with the CPU 110 of the PCD 100 as well as with the thermal policy manager module 101. The thermal policy manager module 101 may work with the monitor module to apply thermal policies that include one or more thermal mitigation techniques as will be described in further detail below.

As depicted in FIG. 6, the touch screen display 132, the video port 138, the USB port 142, the camera 148, the first stereo speaker 154, the second stereo speaker 156, the microphone 160, the FM antenna 164, the stereo headphones 166, the RF switch 170, the RF antenna 172, the keypad 174, the mono headset 176, the vibrator 178, thermal sensors 157B, and the power supply 180 are external to the on-chip system 322. However, it should be understood that the monitor module 114 may also receive one or more indications or signals from one or more of these external devices by way of the analog signal processor 126 and the CPU 110 to aid in the real time management of the resources operable on the PCD 100.

In a particular aspect, one or more of the method steps described herein may implemented by executable instructions and parameters stored in the memory 112 that form the one or more thermal policy manager module(s) 101. These instructions that form the thermal policy manager module(s) may be executed by the CPU 110, the analog signal processor 126, or another processor, in addition to the ADC controller 103 to perform the methods described herein. Further, the processors, 110, 126, the memory 112, the instructions stored therein, or a combination thereof may serve as a means for performing one or more of the method steps described herein.

FIG. 7A is a functional block diagram illustrating an exemplary spatial arrangement of hardware for the chip 102 illustrated in FIG. 6. According to this exemplary embodiment, the applications CPU 110 is positioned on the far left side region of the chip 102 while the modem CPU 168/126 is positioned on a far right side region of the chip 102. The applications CPU 110 may comprise a multi-core processor that includes a zeroth core 222, a first core 224, and an Nth core 230. The applications CPU 110 may be executing a thermal policy manager module 101A (when embodied in software) or it may include a thermal policy manager module 101A (when embodied in hardware). The application CPU 110 is further illustrated to include operating system (“O/S”) module 207 and a monitor module 114. Further details about the monitor module 114 will be described below in connection with FIG. 7B.

The applications CPU 110 may be coupled to one or more phase locked loops (“PLLs”) 209A, 209B, which are positioned adjacent to the applications CPU 110 and in the left side region of the chip 102. Adjacent to the PLLs 209A, 209B and below the applications CPU 110 may comprise an analog-to-digital (“ADC”) controller 103 that may include its own thermal policy manager 101B that works in conjunction with the main thermal policy manager module 101A of the applications CPU 110.

The thermal policy manager 101B of the ADC controller 103 may be responsible for monitoring and tracking multiple thermal sensors 157 that may be provided “on-chip” 102 and “off-chip” 102. The on-chip or internal thermal sensors 157A may be positioned at various locations.

For example, a first internal thermal sensor 157A1 may be positioned in a top center region of the chip 102 between the applications CPU 110 and the modem CPU 168/126 and adjacent to internal memory 112. A second internal thermal sensor 157A2 may be positioned below the modem CPU 168/126 on a right side region of the chip 102. This second internal thermal sensor 157A2 may also be positioned between a an advanced reduced instruction set computer (“RISC”) instruction set machine (“ARM”) 177 and a first graphics processor 134A. A digital-to-analog controller (“DAC”) 173 may be positioned between the second internal thermal sensor 157A2 and the modem CPU 168/126.

A third internal thermal sensor 157A3 may be positioned between a second graphics processor 134B and a third graphics processor 134C in a far right region of the chip 102. A fourth internal thermal sensor 157A4 may be positioned in a far right region of the chip 102 and beneath a fourth graphics processor 134D. And a fifth internal thermal sensor 157A5 may be positioned in a far left region of the chip 102 and adjacent to the PLLs 209 and ADC controller 103.

One or more external thermal sensors 157B may also be coupled to the ADC controller 103. The first external thermal sensor 157B1 may be positioned off-chip and adjacent to a top right quadrant of the chip 102 that may include the modem CPU 168/126, the ARM 177, and DAC 173. A second external thermal sensor 157B2 may be positioned off-chip and adjacent to a lower right quadrant of the chip 102 that may include the third and fourth graphics processors 134C, 134D.

One of ordinary skill in the art will recognize that various other spatial arrangements of the hardware illustrated in FIG. 7A may be provided without departing from the scope of the invention. FIG. 7A illustrates yet one exemplary spatial arrangement and how the main thermal policy manager module 101A and ADC controller 103 with its thermal policy manager 101 B may manage thermal states that are a function of the exemplary spatial arrangement illustrated in FIG. 7A.

FIG. 7B is a schematic diagram illustrating an exemplary software architecture of the PCD 100 of FIG. 6 and FIG. 7A for supporting dynamic voltage and frequency scaling (“DVFS”) algorithms. DVFS algorithms may form or be part of at least one thermal mitigation technique that may be triggered by the thermal policy manager 101 when certain thermal conditions are met as will be described in detail below.

As illustrated in FIG. 7B, the CPU or digital signal processor 110 is coupled to the memory 112 via a bus 211. The CPU 110, as noted above, is a multiple-core processor having N core processors. That is, the CPU 110 includes a first core 222, a second core 224, and an N^(th) core 230. As is known to one of ordinary skill in the art, each of the first core 222, the second core 224 and the N^(th) core 230 are available for supporting a dedicated application or program. Alternatively, one or more applications or programs can be distributed for processing across two or more of the available cores.

The CPU 110 may receive commands from the thermal policy manager module(s) 101 that may comprise software and/or hardware. If embodied as software, the thermal policy manager module 101 comprises instructions that are executed by the CPU 110 that issues commands to other application programs being executed by the CPU 110 and other processors.

The first core 222, the second core 224 through to the Nth core 230 of the CPU 110 may be integrated on a single integrated circuit die, or they may be integrated or coupled on separate dies in a multiple-circuit package. Designers may couple the first core 222, the second core 224 through to the N^(th) core 230 via one or more shared caches and they may implement message or instruction passing via network topologies such as bus, ring, mesh and crossbar topologies.

In the illustrated embodiment, the RF transceiver 168 is implemented via digital circuit elements and includes at least one processor such as the core processor 210 (labeled “Core”). In this digital implementation, the RF transceiver 168 is coupled to the memory 112 via bus 213.

Each of the bus 211 and the bus 213 may include multiple communication paths via one or more wired or wireless connections, as is known in the art. The bus 211 and the bus 213 may have additional elements, which are omitted for simplicity, such as controllers, buffers (caches), drivers, repeaters, and receivers, to enable communications. Further, the bus 211 and the bus 213 may include address, control, and/or data connections to enable appropriate communications among the aforementioned components.

When the logic used by the PCD 100 is implemented in software, as is shown in FIG. 7B, it should be noted that one or more of startup logic 250, management logic 260, dynamic voltage and frequency scaling (“DVFS”) interface logic 270, applications in application store 280 and portions of the file system 290 may be stored on any computer-readable medium for use by or in connection with any computer-related system or method.

As understood by one of ordinary skill in the art, the demand for processors that provide high performance and low power consumption has led to the use of dynamic voltage and frequency scaling (“DVFS”) in processor designs. DVFS enables trade-offs between power consumption and performance. Processors 110 and 126 (FIG. 6) may be designed to take advantage of DVFS by allowing the clock frequency of each processor to be adjusted with a corresponding adjustment in voltage. Reducing clock frequency alone is not useful, since any power savings is offset by an increase in execution time, resulting in no net reduction in the total energy consumed. However, a reduction in operating voltage results in a proportional savings in power consumed. One main issue for DVFS enabled processors 110, 126 is how to control the balance between performance and power savings.

In the context of this document, a computer-readable medium is an electronic, magnetic, optical, or other physical device or means that can contain or store a computer program and data for use by or in connection with a computer-related system or method. The various logic elements and data stores may be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. In the context of this document, a “computer-readable medium” can be any means that can store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device.

The computer-readable medium can be, for example but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, device, or propagation medium. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic) having one or more wires, a portable computer diskette (magnetic), a random-access memory (RAM) (electronic), a read-only memory (ROM) (electronic), an erasable programmable read-only memory (EPROM, EEPROM, or Flash memory) (electronic), an optical fiber (optical), and a portable compact disc read-only memory (CDROM) (optical). Note that the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, for instance via optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.

In an alternative embodiment, where one or more of the startup logic 250, management logic 260 and perhaps the DVFS interface logic 270 are implemented in hardware, the various logic may be implemented with any or a combination of the following technologies, which are each well known in the art: a discrete logic circuit(s) having logic gates for implementing logic functions upon data signals, an application specific integrated circuit (ASIC) having appropriate combinational logic gates, a programmable gate array(s) (PGA), a field programmable gate array (FPGA), etc.

The memory 112 is a non-volatile data storage device such as a flash memory or a solid-state memory device. Although depicted as a single device, the memory 112 may be a distributed memory device with separate data stores coupled to the digital signal processor and or the core 210 (or additional processor cores) in the RF transceiver 168.

The startup logic 250 includes one or more executable instructions for selectively identifying, loading, and executing a select program for managing or controlling the performance of one or more of the available cores such as the first core 222, the second core 224 through to the N^(th) core 230. A select program can be found in the program store 296 of the embedded file system 290 and is defined by a specific combination of a performance scaling algorithm 297 and a set of parameters 298. The select program, when executed by one or more of the core processors in the CPU 110 and the core 210 in the RF transceiver 168, may operate in accordance with one or more signals provided by the monitor module 114 in combination with control signals provided by the one or more thermal policy manager module(s) 101 to scale the performance of the respective processor core. In this regard, the monitor module 114 may provide one or more indicators of events, processes, applications, resource status conditions, elapsed time, as well as temperature as received from the thermal policy manager module 101.

The management logic 260 includes one or more executable instructions for terminating an operative performance scaling program on one or more of the respective processor cores, as well as selectively identifying, loading, and executing a more suitable replacement program for managing or controlling the performance of one or more of the available cores. The management logic 260 is arranged to perform these functions at run time or while the PCD 100 is powered and in use by an operator of the device. A replacement program can be found in the program store 296 of the embedded file system 290 and is defined by a specific combination of a performance scaling algorithm 297 and a set of parameters 298.

The replacement program, when executed by one or more of the core processors in the digital signal processor or the core 210 in the RF transceiver 168, may operate in accordance with one or more signals provided by the monitor module 114 or one or more signals provided on the respective control inputs of the various processor cores to scale the performance of the respective processor core. In this regard, the monitor module 114 may provide one or more indicators of events, processes, applications, resource status conditions, elapsed time, temperature, etc in response to control signals originating from the thermal policy manager 101.

The DVFS interface logic or interface logic 270 includes one or more executable instructions for presenting, managing and interacting with external inputs to observe, configure, or otherwise update information stored in the embedded file system 290. In one embodiment, the interface logic 270 may operate in conjunction with manufacturer inputs received via the USB port 142. These inputs may include one or more programs to be deleted from or added to the program store 296. Alternatively, the inputs may include edits or changes to one or more of the programs in the program store 296. Moreover, the inputs may identify one or more changes to, or entire replacements of one or both of the startup logic 250 and the management logic 260. By way of example, the inputs may include a change to the management logic 260 that instructs the PCD 100 to suspend all performance scaling in the RF transceiver 168 when the received signal power falls below an identified threshold. By way of further example, the inputs may include a change to the management logic 260 that instructs the PCD 100 to apply a desired program when the video codec 134 is active.

The interface logic 270 enables a manufacturer to controllably configure and adjust an end user's experience under defined operating conditions on the PCD 100. When the memory 112 is a flash memory, one or more of the startup logic 250, the management logic 260, the interface logic 270, the application programs in the application store 280 or information in the embedded file system 290 can be edited, replaced, or otherwise modified. In some embodiments, the interface logic 270 may permit an end user or operator of the PCD 100 to search, locate, modify or replace the startup logic 250, the management logic 260, applications in the application store 280 and information in the embedded file system 290. The operator may use the resulting interface to make changes that will be implemented upon the next startup of the PCD 100. Alternatively, the operator may use the resulting interface to make changes that are implemented during run time.

The embedded file system 290 includes a hierarchically arranged DVFS store 292. In this regard, the file system 290 may include a reserved section of its total file system capacity for the storage of information for the configuration and management of the various parameters 298 and performance scaling algorithms 297 used by the PCD 100. As shown in FIG. 7B, the DVFS store 292 includes a core store 294, which includes a program store 296, which includes one or more DVFS programs. Each program is defined as a combination of a respective performance scaling algorithm and a set of parameters associated with the specific algorithm. As a further example of the hierarchical nature of the DVFS store 292, a particular member of a set of files may be located and identified by the path of \startup\core0\algorithm\parameterset. In this example, a program is identified by the algorithm in combination with the contents of information stored in the parameter set. For example, a conventional DVFS algorithm known as “classic” may be identified to manage performance scaling on core0 222 in accordance with the parameters sample rate, samples to increase, and samples to decrease as follows: \startup\core0\classic\SampleRate, with a value of 100, where the sample rate is in MHz; \startup\core0\classic\SamplesToIncrease, with a value of 2, where the samples to increase is an integer; and \startup\core0\classic\SamplesToDecrease, with a value of 1, where the samples to decrease is an integer.

That is, the respective filenames define a parameter and the value of the parameter is identified by the contents of the file. The algorithm is defined by a periodic sampling of the CPU idle percentage and operates in accordance with a low threshold (% idle) and a high threshold (% idle). If a samples-to-increase threshold comparator indicates for two consecutive samples that performance should be increased, the DVFS algorithm increases performance in accordance with a predetermined clock level adjustment. Conversely, if a samples-to-decrease threshold comparator indicates for 1 consecutive sample that performance should be decreased, the DVFS algorithm decreases performance in accordance with the predetermined clock level (i.e., frequency) adjustment. As explained above, processor or core operating voltage may be changed together with changes in the clock frequency.

Alternatively, or additionally, the DVFS store 292 may be arranged such that the search path starts from the most specific with respect to its application (i.e., the processor core, algorithm, and parameter value) progresses to the least specific with respect to application. In an example embodiment, parameters are defined in the directories/core0,/coreAll and/default in association with the “classic” performance scaling algorithm. For example, the path \core0\classic\SampleRate—applies only to the classic algorithm operating on core0. This most specific application will override all others. The path \coreAll\classic\SampleRate—applies to any processor core running the classic algorithm. This application is not as specific as the example path above but is more specific than \default\classic\SampleRate—which applies to any processor core running the classic algorithm.

This default application is the least specific and is used only if no other suitable path exists in the DVFS store 292. The first parameter found will be the one used. The \default location will always have a valid parameter file. The architecture of the individual cores, the architecture of the one or more shared caches and the mechanism(s) used to pass instructions between the cores, as well as the desired use cases for the PCD 100 are expected to dictate the nature of the various performance scaling algorithms 297 stored in the memory 112.

FIG. 7C is a first table 267 listing exemplary frequency values for two different DVFS algorithms that may be selected by the DVFS interface logic 270. According to this exemplary first table 267, each core of the multicore CPU 110 may be assigned specific maximum clock frequency values depending upon the current DVFS algorithm being executed. For the first DVFS algorithm that is listed in the first row of the table 627, Core 0 may be assigned a maximum clock frequency of 600 MHz, while Core 1 may be assigned a maximum clock frequency of 650 MHz, and the Nth Core may be assigned a maximum clock frequency of 720 MHz. For the second DVFS algorithm that is listed in the second row of the table 627, Core 0 may be assigned a maximum clock frequency of 610 MHz, while Core 1 is assigned a maximum clock frequency of 660 MHz, and the Nth core may be assigned a maximum clock frequency of 700 MHz. These limits on clock frequency may be selected by the thermal policy manager 101 depending upon the current thermal state of the PCD 100.

FIG. 7D is a second table 277 listing exemplary frequency and voltage pairs for two DVFS algorithms. For a first DVFS algorithm listed in the first row of the table 277, Core 0 may be assigned a maximum clock frequency of 600 MHz while its maximum voltage may be limited to 1.3 mV. Core 1 may be assigned a maximum clock frequency of 500 MHz and a corresponding maximum voltage of 2.0 mV. Core N may be assigned a maximum clock frequency of 550 MHz and a corresponding maximum voltage of 1.8 mV. For the second DVFS algorithm listed in the second row of the table 277, Core 0 may be assigned a maximum clock frequency of 550 MHz while the maximum voltage is assigned the value of 1.0 mV. Core 1 may be assigned a maximum clock frequency of 600 MHz and the corresponding maximum voltage of 1.5 mV. And lastly, Core N may be assigned a maximum clock frequency of 550 MHz and a corresponding maximum voltage of 1.9 mV. The thermal policy manager 101 may select the various pairs of frequency and voltages enumerated in table 277 depending upon the current thermal state of the PCD 100.

FIG. 8 is an exemplary state diagram 300 that illustrates various thermal policy states 305, 310, 315, and 320 that are tracked by the thermal policy manager 101. The first policy state 305 may comprise a “normal” state in which the thermal policy manager 101 only monitors thermal sensors 157 in a routine or ordinary fashion. In this exemplary first and normal state 305, the PCD 100 is usually not in any danger or risk of reaching critical temperatures that may cause failure of any of the hardware and/or software components. In this exemplary state, the thermal sensors 157 may be detecting or tracking temperatures that are at 50° C. or below. However, one of ordinary skill in the art will recognize that other temperature ranges may be established for the first and normal state 305 without departing from the scope of the invention.

The second policy state 310 may comprise a “quality of service” or “QoS” state in which the thermal policy manager 101 may increase the frequency in which thermal sensors 157 are polled or in which the thermal sensors 157 send their temperature status reports to the thermal policy manager 101. This exemplary second state 310 may be reached or entered into by the thermal policy manager 101 when a change of temperature has been detected in the first, normal state 305. The threshold or magnitude of the change in temperature (delta T) which triggers this QoS state 310 may be adjusted or tailored according to a particular PCD 100. Therefore, while a PCD 100 may be operating in the first normal state 305, depending upon the magnitude of the change in temperature that is detected by one or more thermal sensors, the PCD 100 may leave the first normal state 305 and enter into the second QoS state 310 as tracked by the thermal policy manager 101.

For example, a PCD 100 may have a first maximum temperature reading from a given thermal sensor 157 of approximately 40° C. And a second reading from the same thermal sensor 157 may show a change in temperature of only 5° C. which takes the maximum temperature being detected to 45° C. However, while the maximum temperature being detected may be below an established threshold of 50° C. for the first, normal state 305, the change in temperature by 5° C. may be significant enough for the thermal policy manager 101 to change the state to the second, QoS state 310.

In the second, QoS thermal state 310 the thermal policy manager 101 may request or it may actually perform one or more thermal mitigation techniques in order to reduce the thermal load and temperature of the PCD 100. In this particular state 310, the thermal policy manager 101 is designed to implement or request thermal mitigation techniques that may be barely perceivable by an operator and which may degrade a quality of service provided by the PCD 100 in a minimal fashion. The temperature range for this second, QoS thermal state 310 may comprise a range between about 50° C. to about 80° C. One of ordinary skill in the art will recognize that other temperature ranges may be established for the second QoS state 305 and are within the scope of the invention.

As noted previously, the second, QoS state 310 may be triggered based on the magnitude and/or location of the change in temperature and are not necessarily limited to the endpoints of a selected temperature range. Further details about this second, QoS thermal state 310 will be described below in connection with FIG. 9.

The third thermal state 315 may comprise a “severe” state in which the thermal policy manager 101 continues to monitor and/or receives interrupts from thermal sensors 157 while requesting and/or applying more aggressive thermal mitigation techniques relative to the second, QoS state 310 described above. This means that in this state the thermal policy manager 101 is less concerned about quality of service from the perspective of the operator. In this thermal state, the thermal policy manager 101 is more concerned about mitigating or reducing thermal load in order to decrease temperature of the PCD 100. In this third thermal state 315, a PCD 100 may have degradations in performance that are readily perceived or observed by an operator. The third, severe thermal state 315 and its corresponding thermal mitigation techniques applied or triggered by the thermal policy manager 101 will be described in further detail below in connection with FIG. 9. The temperature range for this third, severe thermal state 310 may comprise a range between about 80° C. to about 100° C.

Similar to the first thermal state 305 and second thermal state 310 as discussed above, this third and severe thermal state 315 may be initiated based upon the change in temperature detected by one or more thermal sensors 157 and not necessarily limited to a temperature range established or mapped for this third thermal state 315. For example, as the arrows in this diagram illustrate, each thermal state may be initiated in sequence or they can be initiated out of sequence depending upon the magnitude of the change in temperature (delta T) that may be detected. So this means that the PCD 100 may leave the first and normal thermal state 305 and enter into or initiate the third and severe thermal state 315 based on a change in temperature that is detected by one or more thermal sensors 157, and vice versa. Similarly, the PCD 100 may be in the second or QoS thermal state 310 and enter into or initiate the fourth or critical state 320 based on a change in temperature that is detected by one or more thermal sensors 157, and vice versa. In this exemplary third and critical state 320, the thermal policy manager 101 is applying or triggering as many and as sizable thermal mitigation techniques as possible in order to avoid reaching one or more critical temperatures that may cause permanent damage to the electronics contained within the PCD 100.

This fourth and critical thermal state 320 may be similar to conventional techniques that are designed to eliminate functionality and operation of a PCD 100 in order to avoid critical temperatures. The fourth thermal state 320 may comprise a “critical” state in which the thermal policy manager 101 applies or triggers the shutting down of non-essential hardware and/or software. The temperature range for this fourth thermal state may include those of about 100° C. and above. The fourth and critical thermal state 320 will be described in further detail below in connection with FIG. 9.

The thermal policy management system is not limited to the four thermal states 305, 310, 315, and 320 illustrated in FIG. 8. Depending upon a particular PCD 100, additional or fewer thermal states may be provided without departing from the scope of the invention. That is, one of ordinary skill in the art recognizes that additional thermal states may improve functionality and operation of a particular PCD 100 while in other situations fewer thermal states may be preferred for a particular PCD 100 that has its own unique hardware and/or software.

FIG. 9 is a diagram illustrating exemplary thermal mitigation techniques that may be applied or ordered by the thermal policy manager 101 and are dependent upon a particular thermal state of a PCD 100. It should be appreciated that the thermal mitigation techniques described herein may be applied to manage thermal loads associated with any type of processing, but may be particularly useful in situations involving graphics processing due to inherent power demands, system requirements, and importance to the overall user experience of the PCD 100. As noted previously, the first thermal state 305 may comprise a “normal” state in which the thermal policy manager 101 being executed by the CPU 110 and partially by the ADC controller 103 may monitor, poll, or receive one or more status reports on temperature from one or more thermal sensors 157. In this first thermal state 305, a PCD 100 may not be in any danger or risk of reaching a critical temperature that may harm one or more software and/or hardware components within the PCD 100. Usually, in this first thermal state, the thermal policy manager 101 is not applying or has not requested any initiation of thermal mitigation techniques such that the PCD 100 is operating at its fullest potential and highest performance without regard to thermal loading. The temperature range for this first thermal state 305 may include those of 50° C. and below. For this first thermal state 305, the thermal policy manager 101 may reside in the ADC controller 103 while the main thermal policy manager 101 for all other states may reside or be executed by the CPU 110. In an alternate exemplary embodiment, the thermal policy manager 101 may reside only in the CPU 110.

In the second thermal state 310 also referred to as the QoS state 310, once it is initiated, the thermal policy manager 101 may begin more rapid monitoring, polling, and/or receiving of interrupts (relative to the first thermal state 305) from thermal sensors 157 regarding current temperature of the PCD 100. In this exemplary second thermal state 310, the thermal policy manager 101 may initiate or request the monitor module 114 and/or operating system (“O/S”) module 207 of FIG. 7A to start applying thermal mitigation techniques but with the objective to maintain high-performance with little or no perception in degradations to the quality of service as perceived by the operator of the PCD 100.

According to this exemplary second thermal state 310 illustrated in FIG. 9, the thermal policy manager 101 may request the monitor 114 and/or the O/S module 207 to initiate thermal mitigation techniques such as, but not limited to, (1) load scaling and/or (2) load dynamic scaling; (3) spatial load shifting; and (4) selective graphics processing. Load scaling may comprise adjusting or “scaling” the maximum clock frequency allowed in DVFS algorithm, such as the values provided in the first table 267 of FIG. 7C. Such an adjustment may limit the maximum heat dissipation. This thermal load mitigation technique may also involve adjusting the voltage to match the standard DVFS table used for a particular and unique PCD 100.

The thermal load mitigation technique of load dynamic scaling may comprise the scaling of one and/or all/of the N application processor cores 222, 224, and 230. This thermal load mitigation technique may comprise establishing the max clock frequency allowed for the DVFS algorithm of a particular core 222, 224, or 230. The DVFS algorithm will use a table of voltage/frequency pairs, such as the second table 277 illustrated in FIG. 7D, to scale processing capability.

One such way includes limiting the number of millions of instructions per second (MIPS) by limiting the max frequency allowed. In this way, the thermal policy manager 101 is effectively limiting the power consumption of the core(s) 222, 224, and 230 and limiting their capability (MIPS) that is available. The thermal policy manager 101 may choose to limit N cores 222, 224, 230 together, or it can select and chose which cores 222, 224, 230 get scaled back while allowing other cores 222, 224, 230 to operate in an unconstrained manner. The thermal policy manager 101, monitor module 114, and/or O/S module 207 may make their decisions on which cores 222, 224, 230 to control based on data received from thermal sensors 157 or software application requirements based, and/or best effort prediction. The temperature range for this second thermal state may include those of about 50° C. to about 80° C.

The thermal load mitigation technique of spatial load shifting comprises the activation and deactivation of cores within a multi-core processor system. If N multiple cores exist, each core may be loaded up with work or its performance maximized using up to N−1 cores and then as a thermal sensor 157 indicates a heating problem, the location of an inactive core functioning as a cooling device may be shifted. Each core may effectively be cooled by letting it idle in a predetermined pattern or in a pattern dictated by thermal measurements. A ‘hole’ is effectively moved in MIPS around the cores to cool them are in the course of several seconds. In this way, several GHz of processing power may be made available to a PCD 100, while still cooling the silicon die by moving the load around. Further details of spatial load shifting will be described below in connection with FIGS. 13A & 13B.

The thermal mitigation technique of selective graphics processing is described below in connection with FIG. 14. In general, however, this technique involves selectively removing secondary information associated with the graphics load (e.g., shading operations, turning the background into a static image, or disabling less critical graphics features, etc.) while maintaining the frame rate of the primary graphical content.

Referring now to the third thermal state 315 of FIG. 9, also known as the severe thermal state 315, the thermal policy manager 101 may start continuous monitoring, polling, or receiving interrupts from thermal sensors 157 so that temperature is sensed more continuously/frequently compared to the second lower thermal state 310. In this exemplary thermal state 315, the thermal policy manager 101 may apply or request that the monitor module 114 and/or O/S module 207 more aggressive thermal mitigation techniques and/or additional thermal mitigation techniques (relative to the second thermal state 310) with probable perceivable degradation of performance observed by an operator of the PCD 100. According to this exemplary thermal state 315, the thermal policy manager 101 may cause reduction in power to one or more hardware devices like amplifiers, processors, etc. The thermal policy manager 101 may also shift workloads among different hardware devices in a spatial manner in order to bring active devices off-line and two bring in active devices on-line. The thermal mitigation techniques of this third and severe thermal state 315 may be the same as those described above with respect to the second, quality of service thermal state 310. However, these same thermal mitigation techniques may be applied in a more aggressive manner. For example, when adjusting DVFS parameters, the thermal policy manager 101 may request that these parameters are adjusted more significantly such as providing for significantly lower voltages and/or frequencies compared to the second thermal state 310. These lower voltages and/or frequencies may be lower than is recommended for supporting a particular application program.

Referring now to the fourth and critical state 320 of FIG. 9, the thermal policy manager 101 may start shutting down or requesting the monitor 114 and/or O/S module 207 to start shutting down all nonessential hardware and/or software modules.

“Nonessential” hardware and/or software modules may be different for each type of particular PCD 100. According to one exemplary embodiment, all nonessential hardware and/or software modules may include all of those outside of an emergency 911 telephone call function and global positioning satellite (“GPS”) functions. This means that the thermal policy manager 101 in this fourth, critical thermal state 320 may cause the shutdown of hardware and/or software modules that are outside of emergency 911 telephone calls and GPS functions. The thermal policy manager 101 may shut down modules in sequence and/or in parallel depending upon the critical temperatures being monitored by the thermal sensors 157 and the change in temperature being observed by the thermal policy manager 101. The temperature range for this fourth thermal state 320 may include those of about 100° C. and above.

FIG. 10 is a diagram illustrating an exemplary graph 500 of temperature versus time and corresponding thermal policy states 305, 310, 315, and 320. At the first point 503 of the temperature plot or line 505, the thermal policy manager 101 may receive a first interrupt temperature reading of 40° C. from one or more thermal sensors 157. Since this first temperature reading of 40° C. may be below the maximum temperature of 50° C. set for the normal thermal state 305, then the thermal policy manager 101 may remain in the first or normal thermal state 305.

At a second point 506 along the temperature line 505, the thermal policy manager 101 may receive a second interrupt temperature reading of 50° C. While 50° C. may be within the selected temperature range for the first thermal state 305, if the change in temperature from the last temperature reading was significant, such as a large temperature change within a short period of time (like a 3° C. change within five seconds), then such a change or jump in temperature may trigger the thermal policy manager 101 to leave the normal thermal state 305 and initiate the second, QoS thermal state 310.

Between the second point 506 and third point 509 of the temperature line 505, the temperature of the PCD 100 was above 50° C. and the thermal policy manager 101 may have requested or activated one or more thermal mitigation techniques in order to lower the temperature of the PCD 100. At the third point 509 of the temperature line 505, the thermal policy manager 101 may change the thermal state of the PCD 100 from the second state 3102 the first and normal state 305.

At the fourth point 512, the thermal policy manager 101 may observe that the temperature trend is moving in an upward fashion or, in other words, the temperature line 505 may have a positive slope or change in delta T. The thermal policy manager 101 may change the thermal state of the PCD 100 in view of this data from the first thermal state 305 to the second, QoS thermal state 310. In the second thermal state 310, the thermal policy manager 101 may request or it may activate one or more thermal mitigation techniques that should not significantly impact the quality of service provided by the PCD 100. The second thermal state 310 may include a temperature range between a temperature of about 50° C. to about 80° C.

Moving along the temperature line 505 to the fifth point 515 which has a magnitude of about 80° C., the thermal policy manager 101 may initiate a change of thermal state from the second, QoS thermal state 310 to the third and severe thermal state 315. As noted previously, the temperature range for this first thermal state may include a range between about 80° C. to about 100° C. In this third and severe thermal state 310, the thermal policy manager 101 may be requesting or activating a plurality of thermal mitigation techniques that may impact the quality of service and performance of the PCD 100.

The segment of the temperature line 505 between the fifth point 515 and sixth point 518 reflects that the third and severe thermal state 310 has been unsuccessful in mitigating the temperature rise within the PCD 100. Therefore, at the sixth point 518 which may have a magnitude of approximately 100° C., the thermal policy manager 101 may enter into the fourth and critical state 320. In this fourth and critical state 320, the thermal policy manager 101 may activate or request that certain hardware and/or software components be shut down in order to alleviate the current thermal load. As noted previously, the thermal policy manager 101 may cause any hardware and/or software component outside of emergency 911 call functions and GPS functions to be shut down while in this fourth thermal state 320.

Moving along the temperature line 505 to the seventh point 521, the segment of the line 505 between the sixth point 518 and seventh point 521 reflects that the critical thermal state 320 and severe thermal state 315 were successful in lowering the temperature of the PCD 100. As noted previously, one or more thermal states may be jumped or skipped depending upon the temperature measured by the thermal sensors 157 and observed by the thermal policy manager 101.

FIGS. 11A & 11B are logical flowcharts illustrating a method 600 for managing one or more thermal policies of a PCD 100. Method 600A of FIG. 11A starts with first block 605 in which the thermal policy manager 101 may monitor temperature with internal and external thermal sensors 157 while in a first thermal state 305. This first block 605 generally corresponds with the first thermal state 305 illustrated in FIGS. 8 & 9. As noted previously, the thermal policy manager 101 may monitor, actively poll, and/or receive interrupts from one or more thermal sensors 157. In this particular thermal state, the thermal policy manager 101 does not apply any thermal mitigation techniques. The PCD 100 may perform at its optimal level without regard to any thermal loading conditions in this first thermal state.

Next, in decision block 610, the thermal policy manager 101 may determine if a temperature change (delta T) has been detected by one or more thermal sensors 157. If the inquiry to decision block 610 is negative, then the “NO” branch is followed back to block 605. If the inquiry to decision block 610 is positive, then the “YES” branch is followed to block 615 in which the thermal policy manager 101 may increase the frequency of the monitoring of the thermal sensors 157. In block 615, the thermal policy manager may actively poll the thermal sensors 157 more frequently or it may request the thermal sensors 157 to send more frequent interrupts that provide temperature data. This increased monitoring of thermal sensors 157 may occur in the first or normal state 305 and it may also occur in the second or quality of service thermal state 310.

Next, in decision block 620, the thermal policy manager 101 may determine if the next thermal state has been reached or achieved by the PCD 100. In this decision block 620, the thermal policy manager 101 may be determining if the temperature range assigned to the second thermal state 310 has been achieved. Alternatively, the thermal policy manager in this decision block 620 may be determining if a significant change in temperature (delta T) has occurred since a last reading.

If the inquiry to decision block 620 is negative, then the “NO” branch is followed back to decision block 610. If the inquiry to decision block 620 is positive, then the “YES” branch is followed to routine or submethod 625. Routine or submethod 625 may comprise a second thermal state 310 also referred to as the QoS state 310 in which thermal policy manager 101 may apply or request one or more thermal mitigation techniques described above in connection with FIG. 9. For example, the thermal policy manager 101 may request the monitor 114 and/or the O/S module 207 to initiate thermal mitigation techniques such as, but not limited to, (1) load scaling and/or (2) load dynamic scaling as described above.

Subsequently, in decision block 630, the thermal policy manager 101 may determine if the one or more thermal mitigation techniques of the second or QoS state 310 were successful and if the current temperature as detected by the one or more thermal sensors 157 falls within the next lower thermal range for the first or normal state 305. If the inquiry to decision block 630 is positive, then the “YES” branch is followed back to block 605. If the inquiry to decision block 630 is negative, then the “NO” branch is followed to decision block 635.

In decision block 635, the thermal policy manager 101 may determine if the PCD 100 has now entered into the third or severe thermal state 315 according to the temperature as detected by the one or more thermal sensors 157. Alternatively, the thermal policy manager 101 may determine if the PCD 100 has entered into the third or severe thermal state 315 by determining if a significant change in temperature (delta T) has occurred.

If the inquiry to decision block 635 is negative, the “NO” branch is followed back to decision block 620. If the inquiry to decision block 635 is positive, then the “YES” branch is followed to submethod or subroutine 640.

In submethod or subroutine 640, the thermal policy manager 101 has determined that the PCD 100 has entered into the third or severe thermal state. The thermal policy manager 101 may then activate or request that one or more thermal mitigation techniques be applied. As noted previously, the thermal policy manager 101 in this third or severe thermal state 315 may start continuous monitoring, polling, or receiving interrupts from thermal sensors 157 so that temperature is sensed more continuously/frequently compared to the second lower thermal state 310.

In this exemplary thermal state 315, the thermal policy manager 101 may apply or request that the monitor module 114 and/or O/S module 207 apply more aggressive thermal mitigation techniques and/or additional thermal mitigation techniques (relative to the second thermal state 310) with probable perceivable degradation of performance observed by an operator of the PCD 100. According to this exemplary thermal state 315, the thermal policy manager 101 may cause reduction in power to one or more hardware devices like amplifiers, processors, etc. The thermal policy manager 101 may also shift workloads among different hardware devices in a spatial manner in order to bring active devices off-line and two bring in active devices on-line. The thermal mitigation techniques of this third and severe thermal state 315 may be the same as those described above with respect to the second, quality of service thermal state 310. However, these same thermal mitigation techniques may be applied in a more aggressive manner. For example, when adjusting DVFS parameters, the thermal policy manager 101 may request that these parameters are adjusted more significantly such as providing for significantly lower voltages and/or frequencies compared to the second thermal state 310. These lower voltages and/or frequencies may be lower than is recommended for supporting a particular application program.

Next, in decision block 645, the thermal policy manager 101 may determine if the one or more thermal mitigation techniques applied in submethod or routine 640 were successful to prevent escalation of temperature for the PCD 100. If the inquiry to decision block 645 is negative, then the “NO” branch is followed to step 655 of FIG. 11B. If the inquiry to decision block 645 is positive, then the “YES” branch is followed to step 650 in which the thermal policy manager 101 determines the current thermal state of the PCD 100 based on temperature readings provided by the one or more thermal sensors 157.

FIG. 11B is a continuation flow chart relative to the flowchart illustrated in FIG. 11A. The method 600B of FIG. 11B starts with decision block 655 in which the thermal policy manager 101 may determine if the PCD 100 has entered into the fourth or critical thermal state 320 based on the temperature being detected by one or more thermal sensors 157. If the inquiry to decision block 655 is negative, then the “NO” branch is followed to step 660 in which the thermal policy manager 101 returns the PCD 102 the third or severe thermal state 315 and the process returns to block 635 of FIG. 11A.

If the inquiry to decision block 655 is positive, then the “YES” branch is followed to submethod or routine 665 in which the thermal policy manager 101 activates or request that one or more critical thermal mitigation techniques be activated. The thermal policy manager 101 in this fourth, critical thermal state 320 may cause the shutdown of hardware and/or software modules that are outside of emergency 911 telephone calls and GPS functions. The thermal policy manager 101 may shut down modules in sequence and/or in parallel depending upon the critical temperatures being monitored by the thermal sensors 157 and the change in temperature being observed by the thermal policy manager 101.

Subsequently, in decision block 670, the thermal policy manager 101 may determine if the thermal mitigation techniques applied in routine or submethod 665 were successful to prevent any escalation of temperature of the PCD 100 as detected by the thermal sensors 157. If the inquiry to decision block 670 is negative, then the “NO” branch is followed back to routine or submethod 665.

If the inquiry to decision block 670 is positive, then the “YES” branch is followed to step 675 in which the thermal policy manager 101 determines the current thermal state of the PCD 100 based on temperature readings supplied by one or more thermal sensors 157. Once the temperature readings are assessed by the thermal policy manager 101, the thermal policy manager 101 initiates the thermal state corresponding to the temperature ranges detected by the thermal sensors 157.

FIG. 12 is a logical flowchart illustrating sub-method or subroutines 625, 640, and 665 for applying DVFS thermal mitigation techniques. Block 705 is the first step in the submethod or subroutine for applying DVFS thermal mitigation techniques. In this first block 705, the thermal policy manager 101 may determine the current thermal state based on temperature readings provided by thermal sensors 157. Once the current thermal state is determined by the thermal policy manager 101, the thermal policy manager 101 may then review the current DVFS settings in block 710. Next, in block 715, the thermal policy manager 101 may review the current workloads of one or more hardware and/or software modules.

Next, in block 720, the thermal policy manager 101 may adjust or issue commands to adjust the current DVFS settings that may include voltage and/or frequency, in order to reduce workload or to spatially shift the workload to mitigate thermal loading conditions and according to the current thermal state which was determined by the thermal policy manager 101.

So for the second or QoS thermal state 310, in block 720, the thermal policy manager 101 may initiate or request the monitor module 114 and/or operating system (“O/S”) module 207 of FIG. 2A to start applying thermal mitigation techniques but with the objective to maintain high-performance with little or no perception in degradations to the quality of service as perceived by the operator of the PCD 100.

According to this exemplary second thermal state 310 illustrated in FIG. 9, the thermal policy manager 101 may request the monitor 114 and/or the O/S module 207 to initiate thermal mitigation techniques such as, but not limited to, (1) load scaling and/or (2) load dynamic scaling. Load scaling may comprise adjusting or “scaling” the maximum clock frequency allowed in DVFS algorithm.

For the third or severe terminal state 315, in block 720, the thermal policy manager 101 may start continuous monitoring, polling, or receiving interrupts from thermal sensors 157 so that temperature is sensed more continuously/frequently compared to the second lower thermal state 310. In this exemplary thermal state 315, the thermal policy manager 101 may apply or request that the monitor module 114 and/or O/S module 207 more aggressive thermal mitigation techniques and/or additional thermal mitigation techniques (relative to the second thermal state 310) with probable perceivable degradation of performance observed by an operator of the PCD 100. According to this exemplary thermal state 315, the thermal policy manager 101 may cause reduction in power to one or more hardware devices like amplifiers, processors, etc.

The thermal policy manager 101 may also shift workloads among different hardware devices in a spatial manner, to bring active devices off-line and to bring in active devices on-line. The thermal mitigation techniques of this third and severe thermal state 315 may be the same as those described above with respect to the second, quality of service thermal state 310. However, these same thermal mitigation techniques may be applied in a more aggressive manner. For example, when adjusting DVFS parameters, the thermal policy manager 101 may request that these parameters are adjusted more significantly such as providing for significantly lower voltages and/or frequencies compared to the second thermal state 310. These lower voltages and/or frequencies may be lower than is recommended for supporting a particular application program.

For the fourth or critical terminal state 320, in block 720, this thermal state 320 may be similar to conventional techniques that are designed to eliminate functionality and operation of a PCD 100 in order to avoid critical temperatures. The fourth thermal state 320 may comprise a “critical” state in which the thermal policy manager 101 applies or triggers the shutting down of non-essential hardware and/or software. The temperature range for this fourth thermal state may include those of about 100° C. and above. The submethod 625, 640, or 665 then returns to an appropriate step in the thermal management method 600 depending upon the current thermal state of the PCD 100.

FIG. 13A is a schematic 800A for a four-core multi-core processor 110 and different workloads that may be spatially managed with the multi-core processor 110. The multi-core processor 110 may be a graphics processor 110 for supporting graphical content projected on the display 132.

The four-core multi-core processor 110 has a zeroth core 222, a first core 224, a second core 226, and a third core 228. The first workload scenario for the multi-core processor 110 is demonstrated by multi-core processor 110A in which the zeroth core 222 has a workload of 70% (out of a 100% full work capacity/utilization for a particular core), while the first core 224 has a workload of 30%, the second core 226 has a workload of 50%, and the third core 228 has a workload of 10%. If the thermal policy manager 101 enters any one of the thermal states 310, 315, 320 described above in which thermal mitigation techniques are applied to the PCD 100, a spatial thermal load mitigation technique as illustrated in this FIG. 13A may be implemented. According to this spatial thermal load mitigation technique, the thermal policy manager 101, the monitor module 114, and/or the O/S module 207 may shift the workload of one core to one or more other cores in a multi-core processor 110.

In the exemplary embodiment illustrated in FIG. 13A, the workload of the zeroth core 222 may be shifted such that additional work is performed by the remaining three other cores of the multi-core processor 110. Multi-core processor 110B illustrates such a shift in that 20% of the workload for the zeroth core 222 and 40% of the workload for the second core 226 were shifted among the remaining two cores such that the workload experienced by the zeroth core 222 was reduced down to 50% while the workload experienced by the second core 226 was reduced down to 10%. Meanwhile the workload of the first core 224 was increased to 70% while the workload of the third core 228 was increased to 30%. One of ordinary skill in the art recognizes that other magnitudes and combinations of shifting workload and corresponding work load percentages are well within the scope of the invention.

The multi-core processors 110C-110D provide a demonstration of an exemplary shift of a “hole” in which one or more cores may effectively be cooled by letting them idle in a predetermined pattern or in a pattern dictated by thermal measurements. A ‘hole’ or core that is not being utilized is effectively moved in MIPS around a group of cores to cool them in the course of several seconds. In the exemplary embodiment illustrated by multi-core processor 110C of FIG. 13A, the zeroth core 222 and the first core 224 may have exemplary workloads of 80% while the second core 226 and the third core 228 have no loads whatsoever. In this scenario, if either or both of the zeroth core 222 and first core 224 reach the second thermal stage 310, the third thermal stage 315, or the fourth thermal states 320, then the thermal policy manager 101 may apply or request that a spatial thermal load mitigation technique be applied in which all of the workload of the two active cores 222, 224 be shifted to the two inactive cores 226, 228. The fourth processor 110D demonstrates such a shift in which the zeroth core 222 and first core 224 no longer have any workloads while the second core 226 and third core 228 have assumed the previous workload which was managed by the zeroth core 222 and first core 224.

FIG. 13B is logical flowchart illustrating a sub-method or subroutine 625,640,665 for applying spatial workload shifting thermal mitigation techniques. Block 805 is the first step in the submethod or subroutine 625, 640, 665 for applying spatial workload shifting thermal mitigation techniques. In this first block 805, the thermal policy manager 101 may determine the current thermal state based on temperature readings provided by thermal sensors 157. Once the current thermal state is determined by the thermal policy manager 101, the thermal policy manager 101, the monitor module 114, and/or the O/S module 207 may then review the current workload of the cores of a multi-core processor 110 in block 810. As noted previously, the thermal policy manager 101 may be tasked with implementing one or more thermal mitigation techniques. However, in an alternate exemplary embodiment, it is possible for the thermal policy manager 101 to only suggest that thermal mitigation techniques be applied and the thermal policy manager 101 may allow the monitor module 114 and/or the O/S module to decide how the thermal mitigation techniques are actually implemented. For brevity, the remainder of this subroutine 625, 640, 665 will reference the embodiment in which the thermal policy manager 101 actually implements the thermal mitigation techniques.

Next, in block 815, the thermal policy manager 101 may determine which cores are experiencing heavy workloads and those cores which are experiencing little or no workloads. In block 820, the thermal policy manager 101 may determine which processors are potentially responsible for contributing to or causing the thermal loading condition and the current thermal state. Subsequently, in block 825, the thermal policy manager 101 may adjust the spatial workload distribution among the cores of a multi-core processor 110 to mitigate thermal load and in accordance with the current thermal state. Block 825 generally corresponds to the spatial shifting thermal mitigation technique illustrated in FIG. 13A. The submethod 625, 640, or 665 then returns to an appropriate step in the thermal management method 600 depending upon the current thermal state of the PCD 100. It should be appreciated that the workload shifting techniques described above may also be applied to the one or more graphics processors 134 to manage thermal load associated with graphics processing.

According to an alternative exemplary embodiment, the thermal load steering module(s) 26 may address unplanned and hybrid use cases (unexpected or adaptive thermal steering) in which matching thermal load steering scenarios 24 do not exist. For an unknown use case or even as a double check against an expected use case, the load steering module(s) 26 may detect the MIPS or power load per processor and if that is past a certain threshold showing a level of unbalanced load, the load steering module(s) 26 may assume a hotspot 48 is related to or may be caused by the unbalanced thermal load. In this scenario, the load steering module(s) 26 may move the thermal load to be unbalanced in an opposite direction (or in a balanced manner) in favor of the temperature sensor(s) 157.

If the thermal load steering module(s) 26 do not detect a use case match and/or a threshold is not crossed for indicating an unbalanced operation, then the thermal load steering module(s) 26 may use a default loading vector. This default thermal loading vector may insure the best temperature visibility for a sensor 157. This aspect of this exemplary embodiment is illustrated when optional block 57 of FIG. 5 is executed.

FIG. 14 illustrates an embodiment of a method 900 for managing thermal load associated with graphics processing by selectively removing secondary information associated with a current graphical load. The method 900 may be implemented as a thermal mitigation technique subroutine used in connection with the thermal policies described above. At block 902, the thermal policy manager 101 may initiate the selective graphics subroutine based on the current policy state (block 904). At block 906, the thermal policy manager 101 determines the current graphical load being processed. Depending on the severity and/or characteristics of the graphical load, the thermal policy manager 101 may identify suitable secondary graphical information to remove and/or disable (block 908) while maintaining the frame rate of the primary graphical content. Primary graphical content may comprise graphics that are a focus of a media application program/module.

Meanwhile, secondary graphical information may comprise graphics that are not the focus of a media application program/module and are secondary relative to the primary graphical content. The secondary graphical information may comprise shading operations, background graphical content such as background detail, background dynamics, background scrolling, any background movement, and any shading including the shading of the primary graphical content, and/or other less critical graphics features and/or operations. Secondary graphical information may also be referred to as non-essential graphics or secondary graphics features, as understood by one of ordinary skill in the art.

After selecting the appropriate secondary information, at decision block 910, the thermal policy manager 101 removes and/or disables the secondary graphical information from the current graphical load being processed. In an exemplary embodiment, to minimize the perceivable impact by a user when removing or disabling the secondary information, block 910 may be performed while maintaining the frame rate associated with the primary graphical content. If the mitigation technique is not successful (decision block 912), further (additional) secondary graphical information may be removed and/or disabled (or other mitigation techniques applied) by returning to block 908. If the mitigation technique is successful, the subroutine may return (block 914) to an appropriate step in the thermal management method 600 depending upon the current thermal state of the PCD 100.

According to an alternate exemplary embodiment, additional mitigation techniques may be applied if the inquiry to decision block 912 is negative. One additional mitigation technique may comprise taking the current graphical load being executed by a single graphical processor, such as processor 126, and spreading this graphical load across multiple graphical processing cores 110 or taking the current graphical load from a single core graphical processor to a multi-core processor 110. This spreading of graphical load across multiple graphical processing cores 110 may allow for the lowering of clock rates and/or voltages, which in turn, lowers the concentration of the total thermal load.

Certain steps in the processes or process flows described in this specification naturally precede others for the invention to function as described. However, the invention is not limited to the order of the steps described if such order or sequence does not alter the functionality of the invention. That is, it is recognized that some steps may performed before, after, or parallel (substantially simultaneously with) other steps without departing from the scope and spirit of the invention. In some instances, certain steps may be omitted or not performed without departing from the invention. Further, words such as “thereafter”, “then”, “next”, etc. are not intended to limit the order of the steps. These words are simply used to guide the reader through the description of the exemplary method.

Additionally, one of ordinary skill in programming is able to write computer code or identify appropriate hardware and/or circuits to implement the disclosed invention without difficulty based on the flow charts and associated description in this specification, for example.

Therefore, disclosure of a particular set of program code instructions or detailed hardware devices is not considered necessary for an adequate understanding of how to make and use the invention. The inventive functionality of the claimed computer implemented processes is explained in more detail in the above description and in conjunction with the drawings, which may illustrate various process flows.

In one or more exemplary aspects, the functions described may be implemented in hardware, software, firmware, or any combination thereof. If implemented in software, the functions may be stored on or transmitted as one or more instructions or code on a computer-readable medium. Computer-readable media include both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage media may be any available media that may be accessed by a computer. By way of example, and not limitation, such computer-readable media may comprise RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage or other magnetic storage devices, or any other medium that may be used to carry or store desired program code in the form of instructions or data structures and that may be accessed by a computer.

Also, any connection is properly termed a computer-readable medium. For example, if the software is transmitted from a website, server, or other remote source using a coaxial cable, fiber optic cable, twisted pair, digital subscriber line (“DSL”), or wireless technologies such as infrared, radio, and microwave, then the coaxial cable, fiber optic cable, twisted pair, DSL, or wireless technologies such as infrared, radio, and microwave are included in the definition of medium.

Disk and disc, as used herein, includes compact disc (“CD”), laser disc, optical disc, digital versatile disc (“DVD”), floppy disk and blu-ray disc where disks usually reproduce data magnetically, while discs reproduce data optically with lasers. Combinations of the above should also be included within the scope of computer-readable media.

Therefore, although selected aspects have been illustrated and described in detail, it will be understood that various substitutions and alterations may be made therein without departing from the spirit and scope of the present invention, as defined by the following claims. 

1. A method for simulating thermal load distribution in a portable computing device comprising: storing a computer model of a chip to be used in a portable computing device; simulating thermal load on the chip using the computer model; identifying a simulated thermal load condition having a spatial thermal load distribution on the chip relative to at least one thermal sensor, the simulated thermal load condition corresponding to a simulated workload; generating a thermal load steering parameter for moving the spatial thermal load distribution closer to the at least one sensor under the simulated workload; and generating and storing a thermal load steering table comprising data identifying the simulated workload and the thermal load steering parameter.
 2. The method of claim 1, further comprising storing the thermal load steering table in the portable computing device.
 3. The method of claim 2, further comprising: monitoring a scheduled workload for the portable computing device; determining if the scheduled workload matches the simulated workload; if the scheduled workload matches the simulated workload, determining the thermal load steering parameter; and scheduling the scheduled workload according to the thermal load steering parameters.
 4. A method for controlling thermal load distribution in a portable computing device comprising: storing in a portable computing device a plurality of thermal load steering scenarios, each of the thermal load steering scenarios identifying a simulated thermal load condition for the portable computing device, a corresponding simulated workload that produced the simulated thermal load condition, and a thermal load steering parameter comprising information for steering the simulated thermal load to a predetermined spatial location on the portable computing device; monitoring a scheduled workload for the portable computing device; determining if the scheduled workload matches one of the thermal load steering scenarios; if the scheduled workload matches one of the thermal load steering scenarios, determining the corresponding thermal load steering parameter; and scheduling the scheduled workload according to the thermal load steering parameter.
 5. The method of claim 4, wherein the determining if the scheduled workload matches one of the thermal load steering scenarios comprises determining that the scheduled workload matches one of the simulated workloads.
 6. The method of claim 4, further comprising managing one or more thermal policies of the portable computing device.
 7. The method of claim 6, wherein the managing one or more thermal policies comprises: monitoring temperature of the portable computing device with at least one of an internal thermal sensor and an external thermal sensor; determining if a change in temperature has been detected by at least one thermal sensor; if the change in temperature has been detected by a thermal sensor, then increasing a frequency in which temperature readings are detected; determining if a current temperature of the portable computing device as detected by one or more of the thermal sensors falls within a first predetermined temperature range; and if the current temperature of the portable computing device falls within the first predetermined temperature range, then initiating one or more first thermal mitigation techniques in order to reduce temperature of the portable computing device.
 8. The method of claim 7, further comprising determining if the current temperature of the portable computing device as detected by one or more of the thermal sensors falls within a second predetermined temperature range.
 9. The method of claim 4, further comprising determining if the scheduled workload does not match one of the thermal load steering scenarios, and if the scheduled workload does not match one of the thermal load steering scenarios, then monitoring at least one of millions of instructions per second (MIPs) per processor and power load per processor.
 10. The method of claim 4, wherein the portable computing device comprises at least one of a mobile telephone, a personal digital assistant, a pager, a smartphone, a navigation device, and a hand-held computer with a wireless connection or link.
 11. A computer system for simulating thermal load distribution in a portable computing device, the system comprising: a processor operable to: store a computer model of a chip to be used in a portable computing device; simulate thermal load on the chip using the computer model; identify a simulated thermal load condition having a spatial thermal load distribution on the chip relative to at least one thermal sensor, the simulated thermal load condition corresponding to a simulated workload; generate a thermal load steering parameter for moving the spatial thermal load distribution closer to the at least one sensor under the simulated workload; and generate and store a thermal load steering table comprising data identifying the simulated workload and the thermal load steering parameter.
 12. The system of claim 11, wherein the processor is further operable to: store the thermal load steering table in the portable computing device.
 13. The system of claim 12, wherein the processor is further operable to: monitor a scheduled workload for the portable computing device; determine if the scheduled workload matches the simulated workload; if the scheduled workload matches the simulated workload, determine the thermal load steering parameter; and schedule the scheduled workload according to the thermal load steering parameters.
 14. A computer system for controlling thermal load distribution in a portable computing device, the system comprising: a processor operable to: store in a portable computing device a plurality of thermal load steering scenarios, each of the thermal load steering scenarios identifying a simulated thermal load condition for the portable computing device, a corresponding simulated workload that produced the simulated thermal load condition, and a thermal load steering parameter comprising information for steering the simulated thermal load to a predetermined spatial location on the portable computing device; monitor a scheduled workload for the portable computing device; determine if the scheduled workload matches one of the thermal load steering scenarios; if the scheduled workload matches one of the thermal load steering scenarios, determine the corresponding thermal load steering parameter; and schedule the scheduled workload according to the thermal load steering parameter.
 15. The system of claim 14, wherein the processor is further operable to determine if the scheduled workload matches one of the thermal load steering scenarios comprises the processor operable to determine that the scheduled workload matches one of the simulated workloads.
 16. The system of claim 14, wherein the processor is further operable to: manage one or more thermal policies of the portable computing device.
 17. The system of claim 15, wherein the processor being further operable to manage one or more thermal policies of the portable computing device further comprises: the processor being operable to: monitor temperature of the portable computing device with at least one of an internal thermal sensor and an external thermal sensor; determine if a change in temperature has been detected by at least one thermal sensor; if the change in temperature has been detected by a thermal sensor, then increase a frequency in which temperature readings are detected; determine if a current temperature of the portable computing device as detected by one or more of the thermal sensors falls within a first predetermined temperature range; and if the current temperature of the portable computing device falls within the first predetermined temperature range, then initiate one or more first thermal mitigation techniques in order to reduce temperature of the portable computing device.
 18. The system of claim 14, wherein the processor is further operable to: determine if the current temperature of the portable computing device as detected by one or more of the thermal sensors falls within a second predetermined temperature range.
 19. The system of claim 14, wherein the processor is further operable to: determine if the scheduled workload does not match one of the thermal load steering scenarios, and if the scheduled workload does not match one of the thermal load steering scenarios, then monitor at least one of millions of instructions per second (MIPS) per processor and power load per processor.
 20. The system of claim 14, wherein the portable computing device comprises at least one of a mobile telephone, a personal digital assistant, a pager, a smartphone, a navigation device, and a hand-held computer with a wireless connection or link.
 21. A computer system for managing one or more memory resources of a wireless handheld computing device, the system comprising: means for storing a computer model of a chip to be used in a portable computing device; means for simulating thermal load on the chip using the computer model; means for identifying a simulated thermal load condition having a spatial thermal load distribution on the chip relative to at least one thermal sensor, the simulated thermal load condition corresponding to a simulated workload; means for generating a thermal load steering parameter for moving the spatial thermal load distribution closer to the at least one sensor under the simulated workload; and means for generating and storing a thermal load steering table comprising data identifying the simulated workload and the thermal load steering parameter.
 22. The system of claim 21, further comprising: means for storing the thermal load steering table in the portable computing device.
 23. The system of claim 22, further comprising: means for monitoring a scheduled workload for the portable computing device; means for determining if the scheduled workload matches the simulated workload; means for determining the thermal load steering parameter if the scheduled workload matches the simulated workload; and means for scheduling the scheduled workload according to the thermal load steering parameters.
 24. A system for controlling thermal load distribution in a portable computing device comprising: means for storing in a portable computing device a plurality of thermal load steering scenarios, each of the thermal load steering scenarios identifying a simulated thermal load condition for the portable computing device, a corresponding simulated workload that produced the simulated thermal load condition, and a thermal load steering parameter comprising information for steering the simulated thermal load to a predetermined spatial location on the portable computing device; means for monitoring a scheduled workload for the portable computing device; means for determining if the scheduled workload matches one of the thermal load steering scenarios; means for determining the corresponding thermal load steering parameter if the scheduled workload matches one of the thermal load steering scenarios; and means for scheduling the scheduled workload according to the thermal load steering parameter.
 25. The system of claim 24, wherein the means for determining if the scheduled workload matches one of the thermal load steering scenarios further comprises means for determining that the scheduled workload matches one of the simulated workloads.
 26. The method of claim 24, further comprising means for managing one or more thermal policies of the portable computing device.
 27. The system of claim 26, wherein the means for managing one or more thermal policies further comprises: means for monitoring temperature of the portable computing device with at least one of an internal thermal sensor and an external thermal sensor; means for determining if a change in temperature has been detected by at least one thermal sensor; means for increasing a frequency in which temperature readings are detected if the change in temperature has been detected by a thermal sensor; means for determining if a current temperature of the portable computing device as detected by one or more of the thermal sensors falls within a first predetermined temperature range; and means for initiating one or more first thermal mitigation techniques in order to reduce temperature of the portable computing device.
 28. The system of claim 27, further comprising: means for determining if the current temperature of the portable computing device as detected by one or more of the thermal sensors falls within a second predetermined temperature range
 29. The system of claim 24, further comprising: means for determining if the scheduled workload does not match one of the thermal load steering scenarios, and means for monitoring at least one of millions of instructions per second (MIPS) per processor and power load per processor if the scheduled workload does not match one of the thermal load steering scenarios.
 30. The system of claim 24, wherein the portable computing device comprises at least one of a mobile telephone, a personal digital assistant, a pager, a smartphone, a navigation device, and a hand-held computer with a wireless connection or link.
 31. A computer program product comprising a computer usable medium having a computer readable program code embodied therein, said computer readable program code adapted to be executed to implement a method for simulating thermal load distribution in a portable computing device, said method comprising: storing a computer model of a chip to be used in a portable computing device; simulating thermal load on the chip using the computer model; identifying a simulated thermal load condition having a spatial thermal load distribution on the chip relative to at least one thermal sensor, the simulated thermal load condition corresponding to a simulated workload; generating a thermal load steering parameter for moving the spatial thermal load distribution closer to the at least one sensor under the simulated workload; and generating and storing a thermal load steering table comprising data identifying the simulated workload and the thermal load steering parameter.
 32. The computer program product of claim 31, wherein the program code implementing the method further comprises: storing the thermal load steering table in the portable computing device.
 33. The computer program product of claim 31, wherein the program code implementing the method further comprises: monitoring a scheduled workload for the portable computing device; determining if the scheduled workload matches the simulated workload; if the scheduled workload matches the simulated workload, determining the thermal load steering parameter; and scheduling the scheduled workload according to the thermal load steering parameters.
 34. A computer program product comprising a computer usable medium having a computer readable program code embodied therein, said computer readable program code adapted to be executed to implement a method controlling thermal load distribution in a portable computing device, said method comprising: storing in a portable computing device a plurality of thermal load steering scenarios, each of the thermal load steering scenarios identifying a simulated thermal load condition for the portable computing device, a corresponding simulated workload that produced the simulated thermal load condition, and a thermal load steering parameter comprising information for steering the simulated thermal load to a predetermined spatial location on the portable computing device; monitoring a scheduled workload for the portable computing device; determining if the scheduled workload matches one of the thermal load steering scenarios; if the scheduled workload matches one of the thermal load steering scenarios, determining the corresponding thermal load steering parameter; and scheduling the scheduled workload according to the thermal load steering parameter.
 35. The computer program product of claim 34, wherein the program code implementing the method further comprises: determining that the scheduled workload matches one of the simulated workloads.
 36. The computer program product of claim 34, wherein the program code implementing the method further comprises: managing one or more thermal policies of the portable computing device.
 37. The computer program product of claim 36, wherein the program code implementing the method further comprises: monitoring temperature of the portable computing device with at least one of an internal thermal sensor and an external thermal sensor; determining if a change in temperature has been detected by at least one thermal sensor; if the change in temperature has been detected by a thermal sensor, then increasing a frequency in which temperature readings are detected; determining if a current temperature of the portable computing device as detected by one or more of the thermal sensors falls within a first predetermined temperature range; and if the current temperature of the portable computing device falls within the first predetermined temperature range, then initiating one or more first thermal mitigation techniques in order to reduce temperature of the portable computing device.
 38. The computer program product of claim 37, wherein the program code implementing the method further comprises: determining if the current temperature of the portable computing device as detected by one or more of the thermal sensors falls within a second predetermined temperature range.
 39. The computer program product of claim 34, wherein the program code implementing the method further comprises: determining if the scheduled workload does not match one of the thermal load steering scenarios, and if the scheduled workload does not match one of the thermal load steering scenarios, then monitoring at least one of millions of instructions per second (MIPS) per processor and power load per processor.
 40. The computer program product of claim 34, wherein the portable computing device comprises at least one of a mobile telephone, a personal digital assistant, a pager, a smartphone, a navigation device, and a hand-held computer with a wireless connection or link. 